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Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam
Published by Universitas Negeri Makassar
ISSN : 20866755     EISSN : 25795686     DOI : https://doi.org/10.35580/sainsmat
Core Subject :
The objective of this journal is to publish original, fully peer-reviewed articles on a variety of topics and research methods in sciences, mathematics, statistics, education, and applied science. The journal welcomes articles that address common issues in mathematics, sciences, statistics, education, applied science, and cross-curricular dimensions more widely.
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Articles 299 Documents
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THE EFFECT OF MATOA (Pometia pinnata) LEAVES ETHANOL EXTRACT ON REDUCING CHOLESTEROL LEVELS IN MALE MICE(Mus musculus) MuhammadNaufal Syaiful Haq; Halifah Pagarra; Abd Muis; Shopia Salsabila
SAINSMAT: Jurnal Ilmiah Ilmu Pengetahuan Alam Vol. 14 No. 01 (2025): Volume 14 Nomor 1 (Maret 2025)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/j72heg19

Abstract

This research aims to determine the total phenolic content and antioxidant activity of the ethanol extract of matoa (Pometia pinnata) leaves and their effect on the cholesterol levels of male mice (Mus musculus). To determine the total phenolic content using the Folin-Ciocalteu method and the DPPH method to measure antioxidant activity. The effect of matoa leaf extract on reducing cholesterol levels in mice used a completely randomized design (CRD) with 15 mice divided into 5 treatment groups with 3 replications, namely P1 (Extract 175 mg/kgBW), P2 (Extract 350 mg/kgBW), P3 (Extract 700 mg/kgBW), K+ (Simvastatin 0.10 mg/kgBW), and K-(Na-CMC 1%). Extraction uses the maceration method with 70% ethanol solvent. The total phenolic test results were 26.24872 mgGAE/g. The results of measuring antioxidant activity obtained an IC50 of 1,961 ppm. The results of testing cholesterol levels showed that there was an effect of giving ethanol extract of Matoa (Pometia pinnata) leaves on reducing cholesterol levels in male mice (Mus musculus). Giving ethanol extract of Matoa leaves at a dose of 350 mg/kgBW is effective in reducing cholesterol levels. So it can be concluded that the ethanol extract of Matoa leaves has an effect on reducing cholesterol levels in male mice
CHARACTERIZATION OF ENDOPHYTIC FUNGI FROM SEVERAL KARST PLANTS GROWING IN MAROS PANGKEP REGION INHIBITING THE GROWTH OF PATHOGENIC FUNGI FUSARIUM OXYSPORUM Rahma Rahma; Rachmawaty Rachmawaty; Hartono Hartono
SAINSMAT: Jurnal Ilmiah Ilmu Pengetahuan Alam Vol. 14 No. 01 (2025): Volume 14 Nomor 1 (Maret 2025)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/vez09915

Abstract

Fusarium oxysporumis one of the fungi that causes soil-borne diseases that are harmful to plants. So it is necessary to inhibit the growth of Fusarium oxysporum by endophytic fungi from karst plants by isolating, antagonism testing by looking at the presentation of inhibition and then conducting microscopic identification. The highest inhibition was found in isolate 4E.B (strong) 58% which was the best isolate in inhibiting the growth of Fusarium oxysporum, while other isolates such as 1E.A, 2A.D and 4B.D had (moderate) inhibition because they were above 30%. While isolates 3A.A and 3C.D were categorized as low (weak) against Fusarium oxysporum with inhibition values of less than 30%. The microscopic characteristics are 1E.A has septate hyphae, transparent, cylindrical and green conidia shape and color. 2A.D has a cylindrical shape and green conidia color, 3A.A is elongated and transparent, 3C.D is chain-like and green, 4B.D has a septal and gray hyphae shape and round conidia shape and gray color, while 4E.B conidia are round and green
A Implementing the Fruit Battery-based Project Based Learning (PjBL) model on improving the student learning : Implementing the Fruit Battery-based Project Based Learning (PjBL) model on improving the student learning Binti Karomah; Abdul Rachman Tiro; Febrian Andi Hidayat; Mursalim
SAINSMAT: Jurnal Ilmiah Ilmu Pengetahuan Alam Vol. 15 No. 1 (2026): Volume 15 Nomor 1 (Maret 2026)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/tzjagf86

Abstract

Tujuan penelitian ini adalah untuk mengetahui efektivitas dan dampak penerapan model Pembelajaran Berbasis Proyek (PjBL) berbasis Baterai Buah terhadap peningkatan keterlibatan belajar siswa kelas IX di SMP IT Nurul Yaqin, Kabupaten Sorong, khususnya pada topik Rangkaian Listrik Sederhana. Penelitian ini menggunakan metode Kuasi-Eksperimental dengan Desain Kelompok Kontrol Non-ekuivalen. Sampel terdiri dari 60 siswa, dibagi menjadi 30 siswa kelas IX A (Kelompok Eksperimen) dan 30 siswa kelas IX B (Kelompok Kontrol). Kelompok eksperimen menerapkan PjBL berbasis Baterai Buah, sedangkan kelompok kontrol menggunakan metode ceramah dan diskusi konvensional. Data keterlibatan belajar dikumpulkan menggunakan lembar observasi selama proses pembelajaran dan kuesioner keterlibatan pasca-intervensi. Hasil uji t menunjukkan nilai signifikansi (2-tailed) p<0,05 (misalnya, p=0,001), yang menunjukkan perbedaan signifikan dalam keterlibatan belajar antara kedua kelompok. Skor keterlibatan rata-rata kelompok eksperimen secara konsisten lebih tinggi (misalnya, 85,2) dibandingkan dengan kelompok kontrol (misalnya, 68,5). Studi ini menyimpulkan bahwa PjBL berbasis Fruit Battery efektif dalam meningkatkan berbagai dimensi keterlibatan belajar siswa, khususnya dalam aspek partisipasi, kemandirian, dan interaksi.
Prediction Number Of Individuals Infected With Tuberculosis Using The Kalman Filter Method Ghina Ramadhita; Nenik Estuningsih; Windarto
SAINSMAT: Jurnal Ilmiah Ilmu Pengetahuan Alam Vol. 15 No. 1 (2026): Volume 15 Nomor 1 (Maret 2026)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/hsdwwb82

Abstract

The spread Tuberkulosis cases in Indonesia, especially in East Java Province, is still relatively high. The number of individuals infected with tuberculosis can be modeled using the SEIR model. The prediction number of individuals infected tuberculosis is needed to prevent an increase in the risk of the disease. The number of individuals infected with tuberculosis is predicted using Kalman Filter method with a linearized and discreatized SEIR model. The results show that the prediction number of individuals infected with tuberculosis is close to the actual value based on a relativ
Risk Factors For Stunting Incidence In Urban And Rural Areas Of Indonesia Using Bayesian Spatial Car Zulhijrah Zulhijrah; Destriana Aulia Rifaldi; Nimas Ayu Hapsari; Sulthan Naufal Sulaeman; Muhammad Nur Aidi
SAINSMAT: Jurnal Ilmiah Ilmu Pengetahuan Alam Vol. 14 No. 2 (2025): Volume 14 Nomor 2 (September 2025)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/sainsmat142712542025

Abstract

Stunting is a chronic growth disorder in children under five that requires evidence-based interventions. To understand the factors that contribute to stuntingindif erentregions of Indonesia, Bayesian Conditional Autoregressive (CAR) modelingwasused to estimate the relative risk of stunting. The analysis showed that theBesag-York-Mollié (BYM) model with covariates provided the best results in estimatingtherisk of stunting. The data for this study were obtained from the 2018 BasicHealthResearch Survey. In urban areas, immunization coverage has a significant ef ect onstunting risk, while in rural areas, in addition to immunization, vitaminsupplementation coverage and poverty level are also significant factors. Basedonthe modeling, the region with the highest risk in urban areas is West SulawesiProvince with a relative risk of 1.638, while the lowest is Bali Province with0.564.In rural areas, Papua Province had the highest risk of 1.820, while NorthSulawesiProvince had the lowest risk of 0.599. These findings suggest that immunizationcoverage is instrumental in reducing stunting, both in urban and rural areas. Inaddition, in rural areas, increasing vitamin supplementation coverageanddecreasing poverty levels can help reduce the risk of stunting. Therefore,intervention policies should be tailored to the characteristics of each regiontobemore ef ective in addressing stunting in Indonesia.
MODELING OF FACTORS AFFECTING THE OPEN UNEMPLOYMENT RATE IN EAST JAVA Albertus Eka Putra Haryanto
SAINSMAT: Jurnal Ilmiah Ilmu Pengetahuan Alam Vol. 14 No. 2 (2025): Volume 14 Nomor 2 (September 2025)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/33pw8602

Abstract

One of the challenges faced in achieving the Sustainable Development Goals (SDGs) in point eight is the high Open Unemployment Rate (TPT) in several regions. East Java Province is one of the provinces with a relatively high TPT compared to the target set by the provincial government in 2021. In that year, East Java's TPT was recorded at 6.49%, exceeding the specified target of between 3.96% and 4.01%. In addition to the impact of the COVID-19 pandemic, several other factors are thought to have a significant influence on the East Java TPT. This study aims to model these factors using linear and nonparametric regression with a truncated spline approach to identify the best model. The data used in this study are secondary data in 2021 from the Badan Pusat Statistika (BPS). The results showed that the best model based on the highest R2 value and the lowest RMSE was nonparametric regression with a truncated spline. The variables of district/city minimum wage, Labor Force Participation Rate, and Human Development Index (HDI) have a significant effect on TPT in East Java, where this model is able to explain 91.51% of the variability.
The Effectiveness Of The Character Class In The Matriculation Program On The Formation Of Discipline Among Grade X Students Of The 14Th At SMA Islam Athirah Bone Mutmainnah Mutmainnah
SAINSMAT: Jurnal Ilmiah Ilmu Pengetahuan Alam Vol. 14 No. 2 (2025): Volume 14 Nomor 2 (September 2025)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/496mae19

Abstract

This study is descriptive quantitative research that aims to examine the effectiveness of the character class in the matriculation program on the development of positive discipline among new students. The population in this study consists of all 10th- grade students at SMA Islam Athirah Bone, with a total of 84 respondents. The research instrument used was a closed-ended questionnaire consisting of 36 statements. These statements were developed based on five indicators of positive discipline and one indicator of character class. The data collected were analyzed using SPSS to assess the effectiveness of the program implementation. The results showed that the average final score of the independent variable (character class) was 83.50%, while the dependent variable (positive discipline) had a percentage of 84.72%. Both scores fall into the "very good" category based on the score interpretation criteria table. Therefore, it can be concluded that the character class in the matriculation program is effective in developing positive discipline among 10th-grade students.
Integrating Disaster Risk Reduction and Environmental Care in Junior Secondary Education: A Systematic Literature Review of Educational Strategies and Attitudes Real Fandi; Nasrul Nasrul; Yuninda Adumiranti; Sabar Nurohman
SAINSMAT: Jurnal Ilmiah Ilmu Pengetahuan Alam Vol. 14 No. 2 (2025): Volume 14 Nomor 2 (September 2025)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jsccp713

Abstract

This study investigates the integration of disaster risk reduction and environmental concerns within junior high school education, based on a systematic review of existing scholarly literature. The review identifies a variety of approaches implemented at the junior high school level, including the incorporation of social values, environmental ethics, and active student participation. Approaches such as real-life, activity-based learning and the use of visual media have demonstrated positive effects in enhancing students' awareness of environmental degradation and the importance of collective action. Additionally, child-centered education, along with the application of principles of gender equality and social inclusiveness, further strengthens students' understanding of their roles in climate change adaptation and sustainable disaster risk mitigation. Despite these positive outcomes, challenges remain, particularly in the integration of environmental education in schools with limited resources. Future research should focus on examining specific variables, such as the role of educators, curriculum development, and pedagogical methods, to better assess the effectiveness of these approaches, particularly in diverse regional and cultural contexts.
Integration of Ensemble Stacking in Machine Learning for Thermal Stability Prediction of Metal-Organic Frameworks (MOF) Ananta Surya Pratama; Muhammad Diva Irnanda; Taufiqul Umam; Dandy Prasetyo Nugroho; Harun Al Azies
SAINSMAT: Jurnal Ilmiah Ilmu Pengetahuan Alam Vol. 14 No. 2 (2025): Volume 14 Nomor 2 (September 2025)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/mg9zs075

Abstract

Metal–Organic Frameworks (MOF) are porous materials with broad potential in energy, catalysis, and gas storage applications; however, their thermal stability remains a critical challenge. This study aims to develop a predictive model for the thermal stability of Zn-MOF based on the Quantitative Structure–Property Relationship (QSPR) using a stacking ensemble regression approach. The model was constructed with six base algorithms—Gaussian Process, KNN Regression, Ridge Regression, Linear Regression, Lasso Regression, and Support Vector Regression (SVR)—which were subsequently combined through TheilSen Regression as a meta-learner. The evaluation results demonstrate excellent predictive performance, with an MAE of 0.0022, an RMSE of 0.0023, and an R² of 0.9994 on the test set. Validation against experimental data also revealed only a tiny prediction error, confirming the model’s ability to accurately represent the complex relationships between structural descriptors and thermal stability. Compared to single regression models, the stacking approach proved to be more stable, robust against outliers, and adaptive to heterogeneous data distributions. These findings highlight the potential of stacking ensembles as an efficient data-driven material design strategy, enabling faster identification and design of thermally stable MOF while reducing reliance on costly and time-consuming laboratory experiments.
Forecasting The Value of Non-Oil and Gas Exports in Indonesia Using Triple Exponential Smoothing Sri Sulastri; Inas Wulan Ramadhani
SAINSMAT: Jurnal Ilmiah Ilmu Pengetahuan Alam Vol. 14 No. 2 (2025): Volume 14 Nomor 2 (September 2025)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/wr256011

Abstract

Forecasting the value of non-oil and gas exports in Indonesia is crucial, as these estimates provide an overview of potential foreign exchange earnings. Therefore, forecasting non-oil and gas exports is an important consideration for the government in formulating economic policy. This study aims to determine the value of non-oil and gas exports in Indonesia for 2025, which will form the basis for the government in formulating policy for the coming year. This study presents the optimal forecasting results using the Triple Exponential Smoothing method, with data consisting of non-oil and gas export figures in Indonesia from January 2020 to December 2024, obtained from Badan Pusat Statistik (BPS). The modelling results show that the best model is obtained with optimal parameter values of α = 0,3, β = 0,1, γ = 1, with a MAPE value of 3,770 and an RMSE value of 864,419. The forecast for non-oil and gas exports in Indonesia in 2025 indicates seasonal fluctuations, with March expected to have the highest export value and May projected to be lower than the previous year.

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